Top Data & Analytics Jobs

The Senior Product Analyst will analyze transaction, event, and case data to identify fraud-control gaps, build detection rules and features, and recommend remediation. The role owns fraud KPIs, performs root-cause and cohort analyses, supports new-market risk modeling, and advises on go/no-go decisions. Responsibilities include partnering with product, engineering, data science, compliance, operations, and investigations teams to improve fraud detection, customer experience, and operational performance.

Lead EMEA Compliance Analytics, partnering with Compliance and cross-functional teams on regulatory reporting, risk monitoring, testing, automation, and data-driven insights. Manage and develop 3–4 analysts while remaining hands-on with analytics, complex SQL, reporting pipelines, KPI tracking, data governance, and tooling initiatives.

Investigate complex payment problems using SQL, Python, customer data, and stakeholder input. Identify root causes, assess customer and operational impact, develop practical solutions, influence Product, Engineering, Risk, Operations, and payment partners, and lead initiatives through measurable outcomes. The role requires independent problem-solving, hypothesis testing with incomplete evidence, cross-team coordination without formal authority, and clear communication of findings and recommendations.

Own and improve Wise’s marketing data activation ecosystem, including Reverse ETL pipelines, SQL/dbt models, monitoring, observability, identity resolution, and advertising-platform integrations. Diagnose end-to-end data flow issues and collaborate with analytics, data, engineering, and paid media teams to deliver reliable customer audiences and conversion signals.

Owns Core Compliance analytics engineering, including repository design, SQL and dbt models, Airflow pipelines, Snowflake data products, Lightdash reporting, data quality, metrics, and dashboards. Establishes development, testing, deployment, documentation, and recovery practices. Translates compliance processes into trusted analytical outputs, prioritizes delivery roadmaps, coordinates cross-team dependencies, and evaluates AI-assisted analytics workflows.

Leads analytics strategy and execution for Internal Audit, focused on IT and technology audits. Manages 1–2 analysts, oversees quality and delivery, partners with analytics, engineering, and business teams, and develops automation, continuous auditing tools, AI-enabled solutions, and management information dashboards. Performs hands-on analysis using SQL and Python while supporting audit, risk, compliance, and operational initiatives.

Lead credit analytics for Wise’s emerging credit products, partnering with data science, product, engineering, design, and regional teams. Stress-test credit risk models, analyze expected losses and repayment outcomes, shape market launch strategies, and own the analytics data roadmap, including datasets, dashboards, definitions, documentation, and quality. Build and coach a growing team of analysts while maintaining hands-on involvement with data and decision-making.

Partner with commercial and delivery teams to build scalable reporting, KPIs, dashboards and forecasts. Analyse sales, pre-sales and delivery performance to reduce time-to-revenue, improve deal velocity, and provide data-driven recommendations to drive commercial growth.

Graduate Product Analyst supporting product teams through data analysis, KPI definition, dashboard development, data pipeline creation, experimentation, and actionable recommendations. The role uses SQL, Python or R, statistical methods, and visualization tools to measure product performance, understand user behavior, and identify improvement opportunities. Responsibilities include collaborating with product managers, engineers, designers, and researchers, communicating insights, and helping teams make data-driven decisions.

Analytics Interns will complete a 10-week program, collaborate cross-functionally, conduct data analysis using statistical methods and tools, and contribute ideas through one or two analytical projects. The role involves stakeholder collaboration, data visualization, coding, and prioritizing impactful product improvements. Interns receive mentorship, cohort programming, and support from senior analysts.